wilc.ebam: EBAM Analysis Using Wilcoxon Rank Statistics
In siggenes: Multiple Testing using SAM and Efron's Empirical Bayes Approaches

Description Usage Arguments Details Value Author(s) References See Also

Generates the required statistics for an Empirical Bayes Analysis of Microarrays analysis using standardized Wilcoxon rank statistics.

Should not be called directly, but via ebam(..., method = wilc.ebam).

1 2	wilc.ebam(data, cl, approx50 = TRUE, ties.method = c("min", "random", "max"), use.offset = TRUE, df.glm = 5, use.row = FALSE, rand = NA)

`data`	a matrix or a data frame. Each row of `data` must correspond to a variable (e.g., a gene), and each column to a sample (i.e.\ an observation).
`cl`	a numeric vector of length `ncol(data)` containing the class labels of the samples. In the two class paired case, `cl` can also be a matrix with `ncol(data)` rows and 2 columns. For details on how `cl` should be specified, see `ebam`.
`approx50`	if `TRUE`, the null distribution will be approximated by the standard normal distribution. Otherwise, the exact null distribution is computed. This argument will automatically be set to `FALSE` if there are less than 50 samples in each of the groups.
`ties.method`	either `"min"` (default), `"random"`, or `"max"`. If `"random"`, the ranks of ties are randomly assigned. If `"min"` or `"max"`, the ranks of ties are set to the minimum or maximum rank, respectively. For details, see the help of `rank`. If `use.row = TRUE`, then `ties.method = "max"` is used. For the handling of Zeros, see Details.
`use.offset`	should an offset be used in the Poisson regression employed to estimate the density of the observed Wilcoxon rank sums? If `TRUE`, the log-transformed values of the null density is used as offset.
`df.glm`	integer specifying the degrees of freedom of the natural cubic spline employed in the Poisson regression.
`use.row`	if `TRUE`, `rowWilcoxon` is used to compute the Wilcoxon rank statistics.
`rand`	numeric value. If specified, i.e. not `NA`, the random number generator will be set into a reproducible state.

Standardized versions of the Wilcoxon rank statistics are computed. This means that W* = (W - mean(W)) / sd(W) is used as expression score z, where W is the usual Wilcoxon rank sum statistic or Wilcoxon signed rank statistic, respectively.

In the computation of these statistics, the ranks of ties are by default set to the minimum rank. In the computation of the Wilcoxon signed rank statistic, zeros are randomly set either to a very small positive or negative value.

If there are less than 50 observations in each of the groups, the exact null distribution will be used. If there are more than 50 observations in at least one group, the null distribution will by default be approximated by the standard normal distribution. It is, however, still possible to compute the exact null distribution by setting approx50 to FALSE.

A list of statistics required by ebam.

Holger Schwender, holger.schw@gmx.de

Efron, B., Storey, J.D., Tibshirani, R.\ (2001). Microarrays, empirical Bayes methods, and the false discovery rate, Technical Report, Department of Statistics, Stanford University.

Schwender, H., Krause, A. and Ickstadt, K. (2003). Comparison of the Empirical Bayes and the Significance Analysis of Microarrays. Technical Report, SFB 475, University of Dortmund, Germany.

ebam, wilc.stat

siggenes documentation built on Nov. 8, 2020, 6:26 p.m.